کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5041878 1474162 2017 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Should metacognition be measured by logistic regression?
ترجمه فارسی عنوان
آیا شناخت فراشناختی با رگرسیون لجستیکی اندازه گیری می شود؟
کلمات کلیدی
فراشناخت، حساسیت فراشناختی، رگرسیون لجستیک، تئوری تشخیص سیگنال، تئوری تشخیص سیگنال 2 نوع، رگرسیون خطی عمومی، مدل سازی شناختی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
چکیده انگلیسی


- Logistic regression slopes are evaluated as measures of metacognitive sensitivity.
- According to hierarchical models, slopes are biased by rating criteria.
- Slopes are unbiased only if ratings are generated in parallel with task responses.
- Slopes are also only unbiased if the evidence is distributed logistically.

Are logistic regression slopes suitable to quantify metacognitive sensitivity, i.e. the efficiency with which subjective reports differentiate between correct and incorrect task responses? We analytically show that logistic regression slopes are independent from rating criteria in one specific model of metacognition, which assumes (i) that rating decisions are based on sensory evidence generated independently of the sensory evidence used for primary task responses and (ii) that the distributions of evidence are logistic. Given a hierarchical model of metacognition, logistic regression slopes depend on rating criteria. According to all considered models, regression slopes depend on the primary task criterion. A reanalysis of previous data revealed that massive numbers of trials are required to distinguish between hierarchical and independent models with tolerable accuracy. It is argued that researchers who wish to use logistic regression as measure of metacognitive sensitivity need to control the primary task criterion and rating criteria.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Consciousness and Cognition - Volume 49, March 2017, Pages 291-312
نویسندگان
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